A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension [0.03%]
基于深度学习的心电图和胸部X光片在肺动脉高压检测中的应用
Pang-Yen Liu,Shi-Chue Hsing,Dung-Jang Tsai et al.
Pang-Yen Liu et al.
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of ele...
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning [0.03%]
基于深度学习的颅内时间飞跃磁共振血管成像的脑血管自动分割与可视化技术
Yuqin Min,Jing Li,Shouqiang Jia et al.
Yuqin Min et al.
Time-of-flight magnetic resonance angiography (TOF-MRA) is a non-contrast technique used to visualize neurovascular. However, manual reconstruction of the volume render (VR) by radiologists is time-consuming and labor-intensive. Deep learni...
Robust ROI Detection in Whole Slide Images Guided by Pathologists' Viewing Patterns [0.03%]
基于病理学家观看模式的全片图像稳健ROI检测方法
Fatemeh Ghezloo,Oliver H Chang,Stevan R Knezevich et al.
Fatemeh Ghezloo et al.
Deep learning techniques offer improvements in computer-aided diagnosis systems. However, acquiring image domain annotations is challenging due to the knowledge and commitment required of expert pathologists. Pathologists often identify reg...
Yul Hee Lee,Ji-Su Shim,Young Jae Kim et al.
Yul Hee Lee et al.
The skin prick test (SPT) is a key tool for identifying sensitized allergens associated with immunoglobulin E-mediated allergic diseases such as asthma, allergic rhinitis, atopic dermatitis, urticaria, angioedema, and anaphylaxis. However, ...
Retina Blood Vessels Segmentation and Classification with the Multi-featured Approach [0.03%]
基于多重特征的视网膜血管分割及分类方法
Usharani Bhimavarapu
Usharani Bhimavarapu
Segmenting retinal blood vessels poses a significant challenge due to the irregularities inherent in small vessels. The complexity arises from the intricate task of effectively merging features at multiple levels, coupled with potential spa...
Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients [0.03%]
基于U-Net的术前脊柱侧弯患者CT图像自动三维Cobb角测量方法研究
Lening Li,Teng Zhang,Fan Lin et al.
Lening Li et al.
To propose a deep learning framework "SpineCurve-net" for automated measuring the 3D Cobb angles from computed tomography (CT) images of presurgical scoliosis patients. A total of 116 scoliosis patients were analyzed, divided into a trainin...
IEA-Net: Internal and External Dual-Attention Medical Segmentation Network with High-Performance Convolutional Blocks [0.03%]
基于高性能卷积块的内部外部双重注意医学分割网络
Bincheng Peng,Chao Fan
Bincheng Peng
Currently, deep learning is developing rapidly in the field of image segmentation, and medical image segmentation is one of the key applications in this field. Conventional CNN has achieved great success in general medical image segmentatio...
Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images [0.03%]
基于热度图的主动形状模型在腰椎X射线图像中的定位问题研究
Minho Choi,Jun-Su Jang
Minho Choi
Medical staff inspect lumbar X-ray images to diagnose lumbar spine diseases, and the analysis process is currently automated using deep-learning techniques. The detection of landmarks is necessary in the automatic process of localizing the ...
Mana Moassefi
Mana Moassefi
DEAF-Net: Detail-Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation [0.03%]
用于视网膜血管分割的细节增强注意力特征融合网络(DEAF-Net)
Pengfei Cai,Biyuan Li,Gaowei Sun et al.
Pengfei Cai et al.
Retinal vessel segmentation is crucial for the diagnosis of ophthalmic and cardiovascular diseases. However, retinal vessels are densely and irregularly distributed, with many capillaries blending into the background, and exhibit low contra...